Aashish Yadavally

ECSS 4.417

The University of Texas at Dallas

Richardson, TX 75082

For starters, my first name is pronounced / ɑ:ʃi:ʃ /.

I am a fourth-year Ph.D. student in Computer Science at the University of Texas at Dallas. With Dr. Tien N. Nguyen as my research advisor, I am curently exploring problems at the intersection of Artificial Intelligence and Software Engineering, specifically to enable analysis of partial programs for improving security of software systems.

Through my academic journey, I have been fortunate to work under the guidance of/with wonderful people and researchers in:
Dr. David Shaohua Wang is an Assistant Professor in the Department of Informatics, New Jersey Institute of Technology.
Dr. Frederick Maier is the Associate Director of the Institute for Artificial Intelligence, University of Georgia.
Dr. Hemant Patil heads the Speech Research Lab, and is a Professor at the Dhirubhai Ambani Institute for Information and Communication Technology (DA-IICT).

You may see me at the following Conferences or Events
2023 ESEC/FSE (San Francisco, CA, USA), ICSE (Melbourne, Australia)
2022 ASE (Detroit, MI, USA), ICSE (Pittsburgh, PA, USA), SANER (Virtual)

Favourite Quotes

“The future depends on what we do in the present.” ~ Mohandas Karamchand Gandhi
“If you work with determination and with perfection, success will follow.” ~ Dhirubhai Ambani

news

Apr 17, 2024	Received Distinguished Reviewer Award at MSR 2024!
Feb 21, 2024	One paper accepted at FORGE 2024.
Jan 22, 2024	One paper accepted at FSE 2024.
Jan 15, 2024	Invited talk at TOOS, on Contextuality of Code Representation Learning.
Dec 23, 2023	Two papers accepted at OOPSLA 2024.
Dec 1, 2023	Will be attending ESEC/FSE 2023 at San Francisco, USA.
Dec 1, 2023	Awarded the NSF Student Travel Grant to attend MAPS Workshop, co-located with ESEC/FSE 2023.

selected publications

FSE

Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning

Aashish Yadavally, Yi Li, and Tien N. Nguyen

Proc. ACM Soft. Engg., 2024

Bib PDF

@article{fse24,
  author = {Yadavally, Aashish and Li, Yi and Nguyen, Tien N.},
  title = {Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning},
  journal = {Proc. {ACM} Soft. Engg.},
  volume = {1},
  number = {{FSE}},
  pages = {To Appear},
  year = {2024},
}

OOPSLA

A Learning-Based Approach to Static Program Slicing

Aashish Yadavally, Yi Li, Shaohua Wang, and Tien N. Nguyen

Proc. ACM Program. Lang., 2024

Bib PDF

@article{oopsla24,
  author = {Yadavally, Aashish and Li, Yi and Wang, Shaohua and Nguyen, Tien N.},
  title = {A Learning-Based Approach to Static Program Slicing},
  journal = {Proc. {ACM} Program. Lang.},
  volume = {8},
  number = {{OOPSLA}},
  pages = {To Appear},
  year = {2024},
}

ESEC/FSE

Commit-Level, Neural Vulnerability Detection and Assessment

Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen

In ESEC/SIGSOFT FSE, 2023

Bib PDF Slides

@inproceedings{DBLP:conf/sigsoft/LiYZWN23,
  author = {Li, Yi and Yadavally, Aashish and Zhang, Jiaxing and Wang, Shaohua and Nguyen, Tien N.},
  title = {Commit-Level, Neural Vulnerability Detection and Assessment},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages = {1024--1036},
  publisher = {{ACM}},
  year = {2023},
}

ICSE

(Partial) Program Dependence Learning

Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, and Shaohua Wang

In ICSE, 2023

🏆 Nominated for ACM SIGSOFT Distinguished Paper Award

Bib PDF Slides

@inproceedings{DBLP:conf/icse/YadavallyNWW23,
  author = {Yadavally, Aashish and Nguyen, Tien N. and Wang, Wenbo and Wang, Shaohua},
  title = {(Partial) Program Dependence Learning},
  booktitle = {{ICSE}},
  pages = {2501--2513},
  publisher = {{IEEE}},
  year = {2023},
  note = {ACM SIGSOFT Distinguished Paper Award},
  nomination = {true}
}

DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection

Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally

In ICSE, 2023

Bib PDF Slides

@inproceedings{DBLP:conf/icse/WangNWLZY23,
  author = {Wang, Wenbo and Nguyen, Tien N. and Wang, Shaohua and Li, Yi and Zhang, Jiyuan and Yadavally, Aashish},
  title = {DeepVD: Toward Class-Separation Features for Neural Network Vulnerability
                    Detection},
  booktitle = {{ICSE}},
  pages = {2249--2261},
  publisher = {{IEEE}},
  year = {2023},
}

SANER

Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications

Thanh V. Nguyen, Aashish Yadavally, and Tien N. Nguyen

In SANER, 2022

🏆 IEEE TCSE Distinguished Paper Award

Bib PDF

@inproceedings{DBLP:conf/wcre/NguyenYN22,
  author = {Nguyen, Thanh V. and Yadavally, Aashish and Nguyen, Tien N.},
  title = {Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering
                    Applications},
  booktitle = {{SANER}},
  pages = {502--513},
  publisher = {{IEEE}},
  year = {2022},
  note = {IEEE TCSE Distinguished Paper Award},
  award = {true}
}